• DocumentCode
    2735127
  • Title

    Design of state feedback damping controller for the UPFC using PSO technique

  • Author

    Jalilzadeh, Saeed ; Safari, Amin

  • Author_Institution
    Electr. Eng. Dept., Univ. of Zanjan, Zanjan, Iran
  • Volume
    2
  • fYear
    2009
  • fDate
    20-22 Nov. 2009
  • Firstpage
    99
  • Lastpage
    102
  • Abstract
    This paper presents a particle swarm optimization (PSO) based state feedback damping controller design for unified power flow controller (UPFC). The selection of the state feedback gains for the UPFC controllers is converted to an optimization problem with the eigenvalue-based objective function which is solved by a PSO that has a strong ability to find the most optimistic results. The effectiveness of the proposed controller is demonstrated through eigenvalue analysis and nonlinear time-domain simulation studies. The performance of the proposed method is compared to that of the phase compensation based method for different operating conditions and disturbance. The results analysis reveals that the PSO based designed damping controller for UPFC has an excellent capability in damping power system low frequency oscillations.
  • Keywords
    control system synthesis; damping; eigenvalues and eigenfunctions; nonlinear control systems; particle swarm optimisation; power system control; simulation; state feedback; time-varying systems; PSO; UPFC; damping controller; eigenvalue; nonlinear time-domain simulation; particle swarm optimization; phase compensation; power system; state feedback; unified power flow controller; Analytical models; Control systems; Damping; Eigenvalues and eigenfunctions; Load flow; Particle swarm optimization; Power system analysis computing; Power system simulation; State feedback; Time domain analysis; PSO; UPFC; component; damping controller;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-4754-1
  • Electronic_ISBN
    978-1-4244-4738-1
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2009.5358169
  • Filename
    5358169